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  "aboutHtml": "<p>Text Embedding 3 Large Batch korzysta z /v1/batches z dokładnym identyfikatorem modelu openai/text-embedding-3-large:batch. Ustaw endpoint na /v1/embeddings i podaj requests; każdy element zawiera custom_id oraz body z input jako ciągiem tekstowym lub tablicą ciągów. Zachowuj stałe identyfikatory, aby aplikacja mogła przypisać wyniki do odświeżenia indeksu wyszukiwania.</p><p>Partia jest asynchroniczna. Zachowaj pierwotny zwrócony identyfikator operacji i używaj GET /v1/batches/{operation_id}, aby śledzić tę samą operację z tą samą tożsamością wywołującą. Gotowy zbiór wyników może zawierać odpowiedź lub błąd dla każdego custom_id, dlatego sprawdzaj wyniki poszczególnych elementów oraz stan całej partii.</p><p>Zapisz wszystkie gotowe wyniki jako JSONL, zachowując każdy custom_id i pełną odpowiedź lub błąd. Powiąż poprawnie zwrócone wektory z wysłanymi identyfikatorami dokumentów przed aktualizacją indeksu. Trzymaj razem zapisy pierwotnej operacji i elementów, aby można było zbadać niekompletny lub błędny element bez utraty już zwróconych wyników.</p>",
  "aboutText": "Text Embedding 3 Large Batch korzysta z /v1/batches z dokładnym identyfikatorem modelu openai/text-embedding-3-large:batch. Ustaw endpoint na /v1/embeddings i podaj requests; każdy element zawiera custom_id oraz body z input jako ciągiem tekstowym lub tablicą ciągów. Zachowuj stałe identyfikatory, aby aplikacja mogła przypisać wyniki do odświeżenia indeksu wyszukiwania.\n\nPartia jest asynchroniczna. Zachowaj pierwotny zwrócony identyfikator operacji i używaj GET /v1/batches/{operation_id}, aby śledzić tę samą operację z tą samą tożsamością wywołującą. Gotowy zbiór wyników może zawierać odpowiedź lub błąd dla każdego custom_id, dlatego sprawdzaj wyniki poszczególnych elementów oraz stan całej partii.\n\nZapisz wszystkie gotowe wyniki jako JSONL, zachowując każdy custom_id i pełną odpowiedź lub błąd. Powiąż poprawnie zwrócone wektory z wysłanymi identyfikatorami dokumentów przed aktualizacją indeksu. Trzymaj razem zapisy pierwotnej operacji i elementów, aby można było zbadać niekompletny lub błędny element bez utraty już zwróconych wyników.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">OpenAI: Text Embedding 3 Large (batch)</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Zamknij\">×</button></div><div class=\"idline\"><span>Inne /</span><code>openai/text-embedding-3-large:batch</code><button type=\"button\" id=\"copy-id\">Kopiuj ID</button></div><nav class=\"card-jump-nav\" aria-label=\"Sekcje karty modelu\"><button type=\"button\" data-card-jump=\"overview\">Start</button><button type=\"button\" data-card-jump=\"methods\">Dane wejściowe i metody</button><button type=\"button\" data-card-jump=\"pricing\">Cennik</button><button type=\"button\" data-card-jump=\"examples\">Przykłady</button><button type=\"button\" data-card-jump=\"results\">Wyniki</button><button type=\"button\" data-card-jump=\"aliases\">Aliasy</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"Metody API\"><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-0\" data-card-method=\"Ultra|batches|/v1/batches|openai%2Ftext-embedding-3-large%3Abatch\">Przetwarzanie wsadowe</button></div><div id=\"card-method-content\" role=\"tabpanel\" aria-labelledby=\"card-method-tab-0\"><section class=\"card-section\" data-card-section=\"overview\"><h3 tabindex=\"-1\">Start</h3><p class=\"mdesc-full\">Text Embedding 3 Large Batch wysyła grupy żądań osadzeń tekstu jako jedną partię Ailoot. Śledź każdy element po custom_id i pobierz kompletne wyniki pierwotnej operacji.</p><dl class=\"card-io\" data-card-io><div><dt>Akceptowane dane wejściowe</dt><dd>Tekst</dd></div><div><dt>Wyniki</dt><dd>embedding</dd></div></dl><details class=\"card-about\"><summary>O modelu</summary><p class=\"note-s\" data-model-method-boundary>Ten opis przedstawia możliwości modelu. Dane wejściowe, wyniki i opcje dostępne w Ailoot podano poniżej dla wybranej metody.</p><div class=\"mabout\" id=\"m-about\"><p>Text Embedding 3 Large Batch korzysta z /v1/batches z dokładnym identyfikatorem modelu openai/text-embedding-3-large:batch. Ustaw endpoint na /v1/embeddings i podaj requests; każdy element zawiera custom_id oraz body z input jako ciągiem tekstowym lub tablicą ciągów. Zachowuj stałe identyfikatory, aby aplikacja mogła przypisać wyniki do odświeżenia indeksu wyszukiwania.</p><p>Partia jest asynchroniczna. Zachowaj pierwotny zwrócony identyfikator operacji i używaj GET /v1/batches/{operation_id}, aby śledzić tę samą operację z tą samą tożsamością wywołującą. Gotowy zbiór wyników może zawierać odpowiedź lub błąd dla każdego custom_id, dlatego sprawdzaj wyniki poszczególnych elementów oraz stan całej partii.</p><p>Zapisz wszystkie gotowe wyniki jako JSONL, zachowując każdy custom_id i pełną odpowiedź lub błąd. Powiąż poprawnie zwrócone wektory z wysłanymi identyfikatorami dokumentów przed aktualizacją indeksu. Trzymaj razem zapisy pierwotnej operacji i elementów, aby można było zbadać niekompletny lub błędny element bez utraty już zwróconych wyników.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Dostępne w Ailoot · dane wejściowe i metody</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Batch</b> <code>POST /v1/batches</code></summary><dl class=\"method-capabilities\"><div><dt>Wejście</dt><dd><code>text</code></dd></div><div><dt>Wyjście</dt><dd><code>embedding</code></dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Pole</th><th>Typ</th><th>Wymaganie</th><th>Wartości i limity</th><th>Domyślnie</th></tr></thead><tbody><tr><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>string</code></td><td data-cell-label=\"Wymaganie\"><span class=\"card-cell-label\">Wymaganie</span>Wymagane</td><td data-cell-label=\"Wartości i limity\"><span class=\"card-cell-label\">Wartości i limity</span><div>openai/text-embedding-3-large:batch</div><div>Warunki: Użyj dokładnie tego selektora trasowania Ailoot.</div></td><td data-cell-label=\"Domyślnie\" data-default=\"unspecified\"><span class=\"card-cell-label\">Domyślnie</span>—</td></tr><tr><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">endpoint</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>string</code></td><td data-cell-label=\"Wymaganie\"><span class=\"card-cell-label\">Wymaganie</span>Wymagane</td><td data-cell-label=\"Wartości i limity\"><span class=\"card-cell-label\">Wartości i limity</span><div>/v1/embeddings</div><div>Warunki: </div></td><td data-cell-label=\"Domyślnie\" data-default=\"unspecified\"><span class=\"card-cell-label\">Domyślnie</span>—</td></tr><tr><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">requests</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>array</code></td><td data-cell-label=\"Wymaganie\"><span class=\"card-cell-label\">Wymaganie</span>Wymagane</td><td data-cell-label=\"Wartości i limity\"><span class=\"card-cell-label\">Wartości i limity</span><div>Warunki: </div></td><td data-cell-label=\"Domyślnie\" data-default=\"unspecified\"><span class=\"card-cell-label\">Domyślnie</span>—</td></tr></tbody></table></div><details class=\"note-s\" data-method-contract><summary>Parametry i cykl życia metody</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parametr</th><th>Kontrakt</th></tr></thead><tbody><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>content_type</code></th><td data-cell-label=\"Kontrakt\"><span class=\"card-cell-label\">Kontrakt</span>application/json</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>required</code></th><td data-cell-label=\"Kontrakt\"><span class=\"card-cell-label\">Kontrakt</span>model, endpoint, requests</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>optional</code></th><td data-cell-label=\"Kontrakt\"><span class=\"card-cell-label\">Kontrakt</span></td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>material_types</code></th><td data-cell-label=\"Kontrakt\"><span class=\"card-cell-label\">Kontrakt</span>text</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>conditions</code></th><td data-cell-label=\"Kontrakt\"><span class=\"card-cell-label\">Kontrakt</span>Użyj dokładnie tego selektora trasowania Ailoot.</td></tr></tbody></table></div><p>Cykl życia: <code>asynchronous</code></p><p class=\"note-s\"><code>GET /v1/batches/{operation_id}</code> · Rzeczywiste oryginalne response.id, ten sam wywołujący, klucz i grupa.</p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Cennik</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Informacje taryfowe nie dodają opcji żądania. Obsługiwane parametry podano przy wybranej metodzie.</p><dl data-price-conditions><dt>Tryb szybki</dt><dd>Nie określono <span class=\"note-s\">Gdy wybrany jest tryb szybki</span></dd><dt>Tryb flex</dt><dd>Nie określono <span class=\"note-s\">Gdy wybrany jest tryb flex</span></dd><dt>Maksymalna intensywność rozumowania</dt><dd>Nie określono <span class=\"note-s\">Gdy dla maksymalnej intensywności rozumowania stosowana jest domyślna korekta (default)</span></dd><dt>Wycena jawnej pamięci podręcznej</dt><dd>Niewłączone <span class=\"note-s\">Gdy zażądano jawnej pamięci podręcznej</span></dd></dl></div><div data-declared-tariff-pricing><h4>Stawki Ailoot</h4><h4>Ceny według konfiguracji</h4><p class=\"note-s\">Dopasuj każdą opłatę do pokazanych warunków. Użyj jednej stawki dla każdego zestawu alternatywnych konfiguracji.</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Konfiguracja</th><th>Tabela stawek</th><th>Tokeny kontekstu, więcej niż</th><th>Tokeny kontekstu, do podanej wartości włącznie</th><th>Opłata</th></tr></thead><tbody><tr><th data-cell-label=\"Konfiguracja\" scope=\"row\"><span class=\"card-cell-label\">Konfiguracja</span>Bazowe stawki za tokeny</th><td data-cell-label=\"Tabela stawek\"><span class=\"card-cell-label\">Tabela stawek</span>Stawka podstawowa</td><td data-cell-label=\"Tokeny kontekstu, więcej niż\"><span class=\"card-cell-label\">Tokeny kontekstu, więcej niż</span>—</td><td data-cell-label=\"Tokeny kontekstu, do podanej wartości włącznie\"><span class=\"card-cell-label\">Tokeny kontekstu, do podanej wartości włącznie</span>Bez górnej granicy</td><td data-cell-label=\"Opłata\"><span class=\"card-cell-label\">Opłata</span><div><span>Wejście · Tokeny wejściowe</span> <b>$0.00013</b> <span class=\"price-unit\">/ 1K tokenów</span></div><div><span>Wyjście · Tokeny wyjściowe</span> <b>$0</b> <span class=\"price-unit\">/ 1K tokenów</span></div><div><span>Wejście · Odczyt cache</span> <b>—</b> <span class=\"price-unit\">/ 1K tokenów</span></div><div><span>Wejście · Zapis do cache</span> <b>—</b> <span class=\"price-unit\">/ 1K tokenów</span></div><div><span>Wejście · Zapis do cache, 1 godz.</span> <b>—</b> <span class=\"price-unit\">/ 1K tokenów</span></div></td></tr><tr><th data-cell-label=\"Konfiguracja\" scope=\"row\"><span class=\"card-cell-label\">Konfiguracja</span>Przedział długości żądania 1</th><td data-cell-label=\"Tabela stawek\"><span class=\"card-cell-label\">Tabela stawek</span>—</td><td data-cell-label=\"Tokeny kontekstu, więcej niż\"><span class=\"card-cell-label\">Tokeny kontekstu, więcej niż</span>0</td><td data-cell-label=\"Tokeny kontekstu, do podanej wartości włącznie\"><span class=\"card-cell-label\">Tokeny kontekstu, do podanej wartości włącznie</span>Bez górnej granicy</td><td data-cell-label=\"Opłata\"><span class=\"card-cell-label\">Opłata</span><div><span>Wejście · Tokeny wejściowe</span> <b>$0.00013</b> <span class=\"price-unit\">/ 1K tokenów</span></div><div><span>Wyjście · Tokeny wyjściowe</span> <b>$0</b> <span class=\"price-unit\">/ 1K tokenów</span></div><div><span>Wejście · Odczyt cache</span> <b>—</b> <span class=\"price-unit\">/ 1K tokenów</span></div><div><span>Wejście · Zapis do cache</span> <b>—</b> <span class=\"price-unit\">/ 1K tokenów</span></div><div><span>Wejście · Zapis do cache, 1 godz.</span> <b>—</b> <span class=\"price-unit\">/ 1K tokenów</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot rezerwuje szacowaną kwotę przed żądaniem. Po otrzymaniu wyniku rozlicza ostateczną opłatę według zmierzonego użycia. Rozliczenie strumieniowania korzysta z końcowego rekordu użycia. <a href=\"/docs/pl/billing/reserve/\">Jak działają rezerwacja i rozliczenie →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">Przykładowe żądania</h3><h4>Ailoot Ultra · Batch</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Warianty kodu\"><button class=\"cg-tab\" id=\"model-code-2861-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2861-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · utwórz raz i zachowaj kompletny wynik</button><button class=\"cg-tab\" id=\"model-code-2861-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2861-panel-1\" aria-selected=\"false\" tabindex=\"-1\">Odczytaj pierwotne zadanie wsadowe i zachowaj każdy wynik</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kopiuj kod\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-2861-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2861-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(&#39;{&quot;endpoint&quot;: &quot;/v1/embeddings&quot;, &quot;model&quot;: &quot;openai/text-embedding-3-large:batch&quot;, &quot;requests&quot;: [{&quot;custom_id&quot;: &quot;embedding-1&quot;, &quot;body&quot;: {&quot;input&quot;: &quot;The quick brown fox jumps over the lazy dog&quot;}}]}&#39;)\n\nPath(&quot;request.json&quot;).write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/batches \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-2861-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-2861-tab-1\" hidden><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\npython3 - &lt;&lt;&#39;PY_BATCH&#39;\nimport json,os,subprocess\nfrom pathlib import Path\nfrom urllib.parse import quote\nr=json.loads(Path(&quot;result.json&quot;).read_text()); operation=r[&quot;id&quot;]\nsubprocess.run([&quot;curl&quot;,&quot;--fail-with-body&quot;,&quot;--silent&quot;,&quot;--show-error&quot;,&quot;https://api.ailoot.ai/v1/batches/&quot;+quote(operation,safe=&quot;&quot;),&quot;-H&quot;,&quot;Authorization: Bearer &quot;+os.environ[&quot;AILOOT_API_KEY&quot;],&quot;-D&quot;,&quot;status-headers.txt&quot;,&quot;-o&quot;,&quot;status.json&quot;],check=True)\ns=json.loads(Path(&quot;status.json&quot;).read_text())\nif s.get(&quot;status&quot;)==&quot;completed&quot;: Path(&quot;results.jsonl&quot;).write_text(&quot;&quot;.join(json.dumps(x,ensure_ascii=False)+&quot;\\n&quot; for x in s.get(&quot;results&quot;,[])))\n# Repeat only this same original GET while pending; never repeat creation.\nPY_BATCH\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Odbieranie i zapisywanie wyników</h3><h4>Ailoot Ultra · Batch</h4><ul class=\"card-result-paths\"><li><code>GET /v1/batches/{operation_id}</code></li></ul><div class=\"card-result-process\" data-all-results><h5>Zachowaj wszystkie ukończone wyniki</h5><p class=\"note-s\">Zachowaj każdą kompletną zwróconą odpowiedź, plik i część treści.</p><p class=\"note-s\">Zachowaj oryginalny status, każdy custom_id i pełną odpowiedź lub błąd. Zapisz wszystkie ukończone results[] w formacie JSONL; nie zakłada się żadnej ścieżki przesyłania ani pobierania przez Files.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Jeśli trzeba sprawdzić pierwotną odpowiedź</h5><p class=\"note-s\">Zachowaj oryginalne ID operacji i odczytuj tylko tę oryginalną partię. Przekroczenie limitu czasu, błąd ani nieznany stan nie upoważniają do kolejnego utworzenia.</p></div><details class=\"card-about\" data-output-fields><summary>Pola odpowiedzi</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>Pole</th><th>Typ</th></tr></thead><tbody><tr><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">results[]</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span>array</td></tr><tr><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">results[].custom_id</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span>string</td></tr><tr><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">results[].response</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span>object</td></tr><tr><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">results[].error</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span>object</td></tr></tbody></table></div></details><details class=\"card-about\" data-method-errors><summary>Błędy i dalsze kroki</summary><div class=\"tw\" data-card-table=\"errors\"><table><thead><tr><th>Odpowiedź</th><th>Warunek</th><th>Następny krok</th></tr></thead><tbody><tr><th data-cell-label=\"Odpowiedź\" scope=\"row\"><span class=\"card-cell-label\">Odpowiedź</span>400 · <code>invalid_request_error</code></th><td data-cell-label=\"Warunek\"><span class=\"card-cell-label\">Warunek</span>Wymagane pole, selektor modelu, typ lub postać danych wejściowych są nieprawidłowe.</td><td data-cell-label=\"Następny krok\"><span class=\"card-cell-label\">Następny krok</span>Przed przygotowaniem osobnego żądania sprawdź zwrócone szczegóły walidacji.</td></tr><tr><th data-cell-label=\"Odpowiedź\" scope=\"row\"><span class=\"card-cell-label\">Odpowiedź</span><code></code></th><td data-cell-label=\"Warunek\"><span class=\"card-cell-label\">Warunek</span>Oryginalne żądanie lub wynik są nieznane albo wymagają sprawdzenia.</td><td data-cell-label=\"Następny krok\"><span class=\"card-cell-label\">Następny krok</span>Zachowaj oryginalne identyfikatory i nagłówki; odczytuj tylko obsługiwane rekordy statusu lub biblioteki. Nie wysyłaj ponownie żądania utworzenia.</td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Aliasy</h3><h4>Aliasy modelu</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=openai%2Ftext-embedding-3-large%3Abatch&amp;route=Ultra&amp;caller=openai%2Ftext-embedding-3-large%3Abatch&amp;fmt=batches\"><code>openai/text-embedding-3-large:batch</code></a></span></p><h4>Aliasy ścieżek metod</h4><p class=\"note-s\">Użyj ścieżek metod podanych powyżej.</p><h4>Powiązane ID modeli</h4><p class=\"note-s\"><a href=\"#m=openai%2Ftext-embedding-3-large%3Abatch&amp;route=Ultra&amp;caller=openai%2Ftext-embedding-3-large%3Abatch&amp;fmt=batches\"><code>openai/text-embedding-3-large:batch</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "openai/text-embedding-3-large:batch",
        "fmt": "batches",
        "http": "POST",
        "path": "/v1/batches",
        "request_model_id": "openai/text-embedding-3-large:batch",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|batches|/v1/batches|openai%2Ftext-embedding-3-large%3Abatch",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response and headers, original identifiers, every actual output and all usage/accounting fields. Save each unique owned asset and retain every role pointing to it.",
            "authentication": {
              "header": "Authorization",
              "scheme": "Bearer",
              "value": "$AILOOT_API_KEY"
            },
            "errors": [
              {
                "condition": "Wymagane pole, selektor modelu, typ lub postać danych wejściowych są nieprawidłowe.",
                "http_status": 400,
                "recovery": "Przed przygotowaniem osobnego żądania sprawdź zwrócone szczegóły walidacji.",
                "type": "invalid_request_error"
              },
              {
                "condition": "Oryginalne żądanie lub wynik są nieznane albo wymagają sprawdzenia.",
                "http_status": null,
                "recovery": "Zachowaj oryginalne identyfikatory i nagłówki; odczytuj tylko obsługiwane rekordy statusu lub biblioteki. Nie wysyłaj ponownie żądania utworzenia.",
                "type": null
              }
            ],
            "lifecycle": {
              "cancel_endpoint": null,
              "create": {
                "accepted_status": 202,
                "http": "POST",
                "path": "/v1/batches"
              },
              "file_upload": null,
              "mode": "asynchronous",
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual original response.id, same caller/key/group",
                  "path": "/v1/batches/{operation_id}"
                }
              ],
              "terminal": [
                "completed",
                "failed",
                "expired",
                "cancelled"
              ],
              "unknown": "Zachowaj oryginalne ID operacji i odczytuj tylko tę oryginalną partię. Przekroczenie limitu czasu, błąd ani nieznany stan nie upoważniają do kolejnego utworzenia.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Zachowaj oryginalny status, każdy custom_id i pełną odpowiedź lub błąd. Zapisz wszystkie ukończone results[] w formacie JSONL; nie zakłada się żadnej ścieżki przesyłania ani pobierania przez Files.",
              "every_actual_output": true,
              "family": "batch",
              "fields": [
                {
                  "name": "results[]",
                  "type": "array"
                },
                {
                  "name": "results[].custom_id",
                  "type": "string"
                },
                {
                  "name": "results[].response",
                  "type": "object"
                },
                {
                  "name": "results[].error",
                  "type": "object"
                }
              ]
            },
            "parameters": [
              {
                "conditions": "Użyj dokładnie tego selektora trasowania Ailoot.",
                "default_known": false,
                "enum": [
                  "openai/text-embedding-3-large:batch"
                ],
                "enum_known": true,
                "maximum_length": null,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "conditions": "",
                "default_known": false,
                "enum": [
                  "/v1/embeddings"
                ],
                "enum_known": true,
                "maximum_length": null,
                "name": "endpoint",
                "required": true,
                "type": "string"
              },
              {
                "conditions": "",
                "default_known": false,
                "enum_known": false,
                "items": {
                  "properties": {
                    "body": {
                      "properties": {
                        "input": {
                          "oneOf": [
                            {
                              "type": "string"
                            },
                            {
                              "items": {
                                "type": "string"
                              },
                              "type": "array"
                            }
                          ]
                        }
                      },
                      "required": [
                        "input"
                      ],
                      "type": "object"
                    },
                    "custom_id": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "custom_id",
                    "body"
                  ],
                  "type": "object"
                },
                "maximum_length": null,
                "minItems": 1,
                "name": "requests",
                "required": true,
                "type": "array"
              }
            ],
            "request_schema": {
              "additionalProperties": true,
              "properties": {
                "endpoint": {
                  "enum": [
                    "/v1/embeddings"
                  ],
                  "type": "string"
                },
                "model": {
                  "enum": [
                    "openai/text-embedding-3-large:batch"
                  ],
                  "type": "string"
                },
                "requests": {
                  "items": {
                    "properties": {
                      "body": {
                        "properties": {
                          "input": {
                            "oneOf": [
                              {
                                "type": "string"
                              },
                              {
                                "items": {
                                  "type": "string"
                                },
                                "type": "array"
                              }
                            ]
                          }
                        },
                        "required": [
                          "input"
                        ],
                        "type": "object"
                      },
                      "custom_id": {
                        "type": "string"
                      }
                    },
                    "required": [
                      "custom_id",
                      "body"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                }
              },
              "required": [
                "model",
                "endpoint",
                "requests"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "endpoint": "/v1/embeddings",
                "model": "openai/text-embedding-3-large:batch",
                "requests": [
                  {
                    "body": {
                      "input": "The quick brown fox jumps over the lazy dog"
                    },
                    "custom_id": "embedding-1"
                  }
                ]
              },
              "content_type": "application/json",
              "example_is_offline_content": true
            },
            "usage": {
              "meter": "Use the accepted method price and actual recorded usage; the request reserve is an estimate. A billing unit does not add an input capability.",
              "preserve": "Keep all returned usage, accounting and request identifiers with every actual output.",
              "settlement": "Retain the original operation; reconcile its result and accounting once."
            }
          },
          "input": {
            "conditions": [
              "Użyj dokładnie tego selektora trasowania Ailoot."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [],
            "required": [
              "model",
              "endpoint",
              "requests"
            ]
          },
          "lifecycle": {
            "cancel_endpoint": null,
            "create": {
              "accepted_status": 202,
              "http": "POST",
              "path": "/v1/batches"
            },
            "file_upload": null,
            "mode": "asynchronous",
            "status": [
              {
                "http": "GET",
                "id_source": "Rzeczywiste oryginalne response.id, ten sam wywołujący, klucz i grupa.",
                "path": "/v1/batches/{operation_id}"
              }
            ],
            "terminal": [
              "completed",
              "failed",
              "expired",
              "cancelled"
            ],
            "unknown": "Preserve the original operation ID and read only that original batch. A timeout, error or unknown state does not authorize another creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/batches"
          },
          "method_aliases": [],
          "output": {
            "all_results": "Preserve original status, every custom_id and full response/error. Save all completed results[] as JSONL; no Files upload/download path is inferred.",
            "every_actual_output": true,
            "family": "batch",
            "fields": [
              {
                "name": "results[]",
                "type": "array"
              },
              {
                "name": "results[].custom_id",
                "type": "string"
              },
              {
                "name": "results[].response",
                "type": "object"
              },
              {
                "name": "results[].error",
                "type": "object"
              }
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0.00013000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000013",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "max_context_tokens_inclusive": null,
              "min_context_tokens_exclusive": 0
            },
            "label": "Request-length tier 1",
            "units": [
              {
                "amount": "0.00013000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000013",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"endpoint\": \"/v1/embeddings\", \"model\": \"openai/text-embedding-3-large:batch\", \"requests\": [{\"custom_id\": \"embedding-1\", \"body\": {\"input\": \"The quick brown fox jumps over the lazy dog\"}}]}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/batches \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_BATCH'\nimport json,os,subprocess\nfrom pathlib import Path\nfrom urllib.parse import quote\nr=json.loads(Path(\"result.json\").read_text()); operation=r[\"id\"]\nsubprocess.run([\"curl\",\"--fail-with-body\",\"--silent\",\"--show-error\",\"https://api.ailoot.ai/v1/batches/\"+quote(operation,safe=\"\"),\"-H\",\"Authorization: Bearer \"+os.environ[\"AILOOT_API_KEY\"],\"-D\",\"status-headers.txt\",\"-o\",\"status.json\"],check=True)\ns=json.loads(Path(\"status.json\").read_text())\nif s.get(\"status\")==\"completed\": Path(\"results.jsonl\").write_text(\"\".join(json.dumps(x,ensure_ascii=False)+\"\\n\" for x in s.get(\"results\",[])))\n# Repeat only this same original GET while pending; never repeat creation.\nPY_BATCH\n",
            "label": "Read the original batch and preserve every result",
            "language": "bash"
          }
        ],
        "family": "batch",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "batches",
        "http": "POST",
        "in": 0.13,
        "input": [
          "text"
        ],
        "label": "Batch",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "out": 0,
        "output": [
          "embedding"
        ],
        "path": "/v1/batches",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          },
          {
            "label": "Explicit cache pricing",
            "value": "Not enabled",
            "when": "When explicit cache is requested"
          }
        ],
        "pricing": {
          "billing_mode": "token",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0.00013000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000013",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
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  "page": {
    "canonical": "https://ailoot.ai/models/pl/openai-text-embedding-3-large-u003a-batch/",
    "description": "Text Embedding 3 Large Batch wysyła grupy żądań osadzeń tekstu jako jedną partię Ailoot. Śledź każdy element po custom_id i pobierz kompletne wyniki pierwotnej operacji.",
    "locale": "pl",
    "md_url": "https://ailoot.ai/models/pl/openai-text-embedding-3-large-u003a-batch/index.md",
    "title": "OpenAI: Text Embedding 3 Large (batch) — Ailoot",
    "url": "https://ailoot.ai/models/pl/openai-text-embedding-3-large-u003a-batch/"
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  "rawModel": {
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    "aliases": [],
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          {
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        ],
        "summary": "Pełny cennik konfiguracji w szczegółach."
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                "http_status": 400,
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                "type": "invalid_request_error"
              },
              {
                "condition": "Oryginalne żądanie lub wynik są nieznane albo wymagają sprawdzenia.",
                "http_status": null,
                "recovery": "Zachowaj oryginalne identyfikatory i nagłówki; odczytuj tylko obsługiwane rekordy statusu lub biblioteki. Nie wysyłaj ponownie żądania utworzenia.",
                "type": null
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              "terminal": [
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                "failed",
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              "unknown_no_replay": true
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            "outputs": {
              "all_results": "Zachowaj oryginalny status, każdy custom_id i pełną odpowiedź lub błąd. Zapisz wszystkie ukończone results[] w formacie JSONL; nie zakłada się żadnej ścieżki przesyłania ani pobierania przez Files.",
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                },
                {
                  "name": "results[].error",
                  "type": "object"
                }
              ]
            },
            "parameters": [
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                "conditions": "Użyj dokładnie tego selektora trasowania Ailoot.",
                "default_known": false,
                "enum": [
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                "enum_known": true,
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            "schema_template": {
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              "body": {
                "endpoint": "/v1/embeddings",
                "model": "openai/text-embedding-3-large:batch",
                "requests": [
                  {
                    "body": {
                      "input": "The quick brown fox jumps over the lazy dog"
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                ]
              },
              "content_type": "application/json",
              "example_is_offline_content": true
            },
            "usage": {
              "meter": "Use the accepted method price and actual recorded usage; the request reserve is an estimate. A billing unit does not add an input capability.",
              "preserve": "Keep all returned usage, accounting and request identifiers with every actual output.",
              "settlement": "Retain the original operation; reconcile its result and accounting once."
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          },
          "input": {
            "conditions": [
              "Użyj dokładnie tego selektora trasowania Ailoot."
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            "content_type": "application/json",
            "material_types": [
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            "optional": [],
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                "http": "GET",
                "id_source": "Rzeczywiste oryginalne response.id, ten sam wywołujący, klucz i grupa.",
                "path": "/v1/batches/{operation_id}"
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            ],
            "terminal": [
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            "unknown": "Preserve the original operation ID and read only that original batch. A timeout, error or unknown state does not authorize another creation.",
            "unknown_no_replay": true
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          "method": {
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            "path": "/v1/batches"
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          "method_aliases": [],
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                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "max_context_tokens_inclusive": null,
              "min_context_tokens_exclusive": 0
            },
            "label": "Request-length tier 1",
            "units": [
              {
                "amount": "0.00013000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000013",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"endpoint\": \"/v1/embeddings\", \"model\": \"openai/text-embedding-3-large:batch\", \"requests\": [{\"custom_id\": \"embedding-1\", \"body\": {\"input\": \"The quick brown fox jumps over the lazy dog\"}}]}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/batches \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_BATCH'\nimport json,os,subprocess\nfrom pathlib import Path\nfrom urllib.parse import quote\nr=json.loads(Path(\"result.json\").read_text()); operation=r[\"id\"]\nsubprocess.run([\"curl\",\"--fail-with-body\",\"--silent\",\"--show-error\",\"https://api.ailoot.ai/v1/batches/\"+quote(operation,safe=\"\"),\"-H\",\"Authorization: Bearer \"+os.environ[\"AILOOT_API_KEY\"],\"-D\",\"status-headers.txt\",\"-o\",\"status.json\"],check=True)\ns=json.loads(Path(\"status.json\").read_text())\nif s.get(\"status\")==\"completed\": Path(\"results.jsonl\").write_text(\"\".join(json.dumps(x,ensure_ascii=False)+\"\\n\" for x in s.get(\"results\",[])))\n# Repeat only this same original GET while pending; never repeat creation.\nPY_BATCH\n",
            "label": "Read the original batch and preserve every result",
            "language": "bash"
          }
        ],
        "family": "batch",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "batches",
        "http": "POST",
        "in": 0.13,
        "input": [
          "text"
        ],
        "label": "Batch",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "out": 0,
        "output": [
          "embedding"
        ],
        "path": "/v1/batches",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          },
          {
            "label": "Explicit cache pricing",
            "value": "Not enabled",
            "when": "When explicit cache is requested"
          }
        ],
        "pricing": {
          "billing_mode": "token",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0.00013000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000013",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "max_context_tokens_inclusive": null,
              "min_context_tokens_exclusive": 0
            },
            "label": "Request-length tier 1",
            "units": [
              {
                "amount": "0.00013000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000013",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "request_model_id": "openai/text-embedding-3-large:batch",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/batches/{operation_id}"
        ],
        "tiers": [
          {
            "cache_read": null,
            "cache_read_multiplier": null,
            "cache_write": null,
            "cache_write_1h": null,
            "cache_write_multiplier": null,
            "created_at": "0001-01-01T00:00:00Z",
            "in": 0.13,
            "input_multiplier": null,
            "max": null,
            "max_tokens": null,
            "min": 0,
            "min_tokens": 0,
            "out": 0,
            "output_multiplier": null,
            "per_request_price": null,
            "sort_order": 0,
            "tier_label": "",
            "updated_at": "0001-01-01T00:00:00Z"
          }
        ],
        "units": [
          {
            "amount": "0.00013000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.00000013",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "openai/text-embedding-3-large:batch",
        "request_model_id": "openai/text-embedding-3-large:batch",
        "route_label": "Ultra"
      }
    ],
    "name": "OpenAI: Text Embedding 3 Large (batch)",
    "price": {
      "in": 0.13,
      "in_label": null,
      "out": 0,
      "out_label": null,
      "scope_label": "Token rates",
      "sort_in": 0.13,
      "sort_out": 0,
      "varies": true
    },
    "short": "Text Embedding 3 Large Batch wysyła grupy żądań osadzeń tekstu jako jedną partię Ailoot. Śledź każdy element po custom_id i pobierz kompletne wyniki pierwotnej operacji.",
    "title": "OpenAI: Text Embedding 3 Large (batch)"
  },
  "renderer_schema": {
    "method_order": "Original DTO methods order; every exact route/format/path/caller survives.",
    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
  },
  "representation": "exact-public-dto-and-native-renderer-html",
  "representationNotes": {
    "current_reference": {
      "about_json_pointer": "/aboutHtml",
      "methods": [
        {
          "contract_json_pointer": "/methods/0/rawMethod/contract",
          "html_json_pointer": "/methods/0/html",
          "method_ordinal": 0
        }
      ],
      "role": "current-semantic-reference"
    },
    "raw_input": {
      "examples_role": "historical-input-not-current-ready-examples",
      "json_pointers": [
        "/rawModel",
        "/methods/0/rawMethod"
      ],
      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "Text Embedding 3 Large Batch wysyła grupy żądań osadzeń tekstu jako jedną partię Ailoot. Śledź każdy element po custom_id i pobierz kompletne wyniki pierwotnej operacji.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "dd2350cfba2563c8d4aff21c71a7031898875ff2c6aa58eb3ae0ee24c775b747",
    "renderer_sha256": "1217dcf19a93e99ac1d6fd7bf974dc19adc12fea4bd4470c2601f04e48f688cb"
  },
  "sourceRevision": "740651f4a01b742b7bd0fc7c943769faf8b8592ad5c1d461f213fa9a683edf44"
}